Big data Analytics of cyber attacks: a review

Cyber crime over big data is expand with unprecedented rate that badly affects the Internet industry and the global data. Progressively sophisticated attack and offensive methods used by cyber attacker and the growing role of data-driven and intelligence-driven adversaries demonstrate that tradition...

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Bibliographic Details
Published in2018 ieee international conference on system, computation, automation and networking (icscan) pp. 1 - 7
Main Authors Suraj, M. V., Singh, Nikhil Kumar, Tomar, Deepak Singh
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2018
Subjects
analytics
Big Data
cyber-attack
Data models
Distributed databases
nosql
NoSQL databases
security
Servers
social network data
Social network services
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Summary:Cyber crime over big data is expand with unprecedented rate that badly affects the Internet industry and the global data. Progressively sophisticated attack and offensive methods used by cyber attacker and the growing role of data-driven and intelligence-driven adversaries demonstrate that traditional approaches to mitigate cyber threats are becoming ineffective. Big Data in wide areas also freely available for Marketing, Criminal activities and Fraud detection, Epidemic Intelligence etc. It is tedious job to analysis big data on traditional database, NoSQL have been developed as a scalable platform to store and process large amount of data. In this paper, different types of attacks on big data, its storage mechanism and real time analytics approaches are discussed.Also taking social media data as a big data, studies different social network attacks and provided a problem statement based on the study.
DOI:10.1109/ICSCAN.2018.8541263